Description

AI Developer (SDE-2) - Generative & Applied AI Systems

Role Overview

We are seeking an AI Developer (SDE-2) with hands-on experience in building, deploying, and operating production-grade AI systems. The role spans classical machine learning, computer vision, audio processing, and multi-layered Generative AI applications. The ideal candidate combines strong engineering fundamentals with practical AI expertise and is comfortable experimenting, iterating, and delivering reliable systems in evolving problem spaces.

Key Responsibilities

• Build production-ready AI applications using Python and FastAPI.
• Design and implement LLM pipelines
• Develop and productionize multi-modal AI systems, spanning image processing, textual data processing and NLP, audio analysis, speech-to-text, and speech generation & generative AI and agent-based workflows
• Implement core ML-based estimation, scoring, and prediction systems.
• Use orchestration frameworks (e.g., LangChain, LangGraph, CrewAI) to manage complex, multi-step AI workflows.
• Integrate AI systems with enterprise platforms, ensuring reliable data flows and system interoperability.

Collaborate With Product, Domain, And Engineering Teams To

• Translate ambiguous requirements into scalable AI systems
• Identify edge cases and define or improve SOPs
• Continuously explore, evaluate, and recommend emerging AI tools and technologies. Cloud & Platform Responsibilities
• Leverage GCP services, including :
• Vertex AI
• Cloud Run / Cloud Functions
• BigQuery
• Cloud Storage
• Deploy and manage AI services within CI/CD pipelines. Generative AI & NLP

Hands-on Experience With

• OpenAI APIs
• Gemini APIs
• Hugging Face ecosystem
• LangChain and related frameworks
• AI frameworks like Pytorch, Tensorflow etc.
• Work with large, text-heavy datasets
• Stay current with emerging research in NLP, ML, and Generative AI, integrating best practices into production workflows. Systems, Collaboration & Delivery
• Experience in Python, SQL & python based frameworks (required) and JS, React (good to have)
• Design clean, maintainable APIs and AI services.
• Work closely with domain experts to :
• Understand applied research findings
• Incorporate insights into AI agents and decision systems

Collaborate With Software Engineers To

• Build user-facing tools and interfaces
• Enable visualization, analysis, and interpretation of AI outputs based on business needs
• Ensure systems are robust, scalable, and aligned with long-term platform goals.

Role Expectations

This role is suited for professionals who :

• Think in end-to-end systems, not isolated experiments.
• Can balance engineering discipline with experimentation.
• Are comfortable combining classical ML, deep learning, and GenAI.
• Take ownership from problem definition through production deployment.
• Maintain high standards for reliability, maintainability, and scalability.

(ref:hirist.tech)